The API economy and developer-first approach are transforming analytics. Learn how composable solutions and AI are empowering developers.
The integration of embedded analytics with artificial intelligence (AI) is no longer just a trend; it is a necessary transition toward a developer-centric ecosystem that has the potential to reshape industries—from healthcare to finance and beyond. This shift aims to seamlessly integrate real-time analytics into organizations' core, fundamentally redefining the business intelligence landscape. In the coming years, we can expect the development of technologies that provide quicker insights, allow businesses to act on AI-driven decisions and harness quantum-level processing capabilities.
Developer-First and the API Economy
Today's developers seek robust and flexible frameworks that foster innovation. The market is moving towards modular, composable solutions that emphasize API-first functionalities. This transition is driven by the need to simplify complexity, enabling developers to focus on creating custom embedded analytics experiences.
As the demand for developer-first analytics surges within the evolving API economy, there is an increasing need for powerful solutions tailored to developers that leverage modern technologies, including generative AI. This focus on developers will lead to significant innovations in the coming years.
Augmented Analytics
Combining AI and machine learning (ML) with analytics systems is set to further democratize data access. Examples include conversational data access, predictive maintenance, and real-time supply chain optimization, illustrating how AI/ML can redefine analytics, making it more accessible and actionable.
Conversational Data Access: By integrating natural language processing (NLP) and conversational AI into corporate chat platforms, a sales representative could ask, “What were the sales figures for Product X last quarter?” and receive a clear and immediate response. This innovation democratizes data access, allowing a broader workforce to make data-driven decisions and promoting a culture of informed collaboration.
Predictive Industrial Maintenance: Leveraging AI-driven analytics, companies can forecast equipment failures by analyzing real-time sensor data alongside historical maintenance records. This predictive maintenance approach facilitates timely interventions, reduces downtime, and lowers maintenance costs.
Real-Time Supply Chain Optimization: Businesses can continually analyze data from various points in the supply chain, enabling them to make immediate adjustments to logistics, inventory levels, and demand forecasts. This ensures smoother operations and enhances responsiveness to market changes.
These examples illustrate how integrating AI/ML and analytics will enhance business operations and economic performance in the upcoming year.
The Composable Enterprise
The concept of composability is more than just a buzzword; it is the foundation of modern application development. The industry is increasingly moving towards a composable enterprise, where modular, agile products integrate insights, data, and operations at their core. This transition encourages creating innovative experiences tailored to user needs while significantly reducing development costs and accelerating time to market, ultimately fostering a thriving generative AI ecosystem.
This agile development environment will likely lead to a convergence of AI and business intelligence (BI), such that AI-powered embedded analytics may eventually replace current BI tools. Consequently, businesses will cultivate a data-driven culture where real-time analytics will become essential to daily operations, enabling more proactive and predictive decision-making.
An Analytics Revolution
Looking ahead, the analytics industry stands on the brink of a monumental shift, akin to discovering a new, uncharted territory in data processing and complex analysis. Exploring these unknown realms will uncover analytics capabilities beyond our current understanding. While the full extent of this transformative journey is not yet visible, it will be shaped by strategic decisions to develop composable enterprises and embed analytics, among other factors. This shift promises to be an expedition into a realm rich with untapped potential and groundbreaking opportunities in analytics.
Adequate structure and planning will ensure that information is easily accessible to everyone. As jazz saxophonist and composer Steve Lacy once remarked, “When it is new, it is only for the experts, but when it gets older, everybody wants it.”
Ready for the data revolution? Join us at the Business Intelligence & Analytics Summit 2025 in London on June 5-6! Discover how AI, ML, and cutting-edge analytics reshape industries and transform decision-making. Connect with trailblazers, redefine your data strategy, and unlock the power of composable enterprises.
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